H. Chae

发表

CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments

Jaewoo Kang, Heejoon Chae, Seokjun Seo, 2016, Biology Direct.

Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes

Seong-Whan Lee, K. Nephew, Sun Kim, 2013, Nucleic acids research.

BioVLAB-mCpG-SNP-EXPRESS: A system for multi-level and multi-perspective analysis and exploration of DNA methylation, sequence variation (SNPs), and gene expression from multi-omics data.

K. Nephew, Sangseon Lee, Sun Kim, 2016, Methods.

Methylation and molecular profiles of ependymoma: Influence of patient age and tumor anatomic location.

S. Paek, S. Choi, Seung-Ki Kim, 2021, Molecular and clinical oncology.

Combined analysis of gene regulatory network and SNV information enhances identification of potential gene markers in mouse knockout studies with small number of samples

Sun Kim, B. Hur, H. Chae, 2015, BMC Medical Genomics.

IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data

Sun Kim, Hongryul Ahn, Inuk Jung, 2021, 2021 IEEE International Conference on Big Data (Big Data).

BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud

Heejoon Chae, Sungjoon Park, Sun Kim, 2021, Bioinform..

Targeted Sequencing Revealed Distinct Mutational Profiles of Ocular and Extraocular Sebaceous Carcinomas

Jeong Hwan Park, Sejoon Lee, Jin-Haeng Chung, 2021, Cancers.

Oncogenic ETS proteins mimic activated RAS/MAPK signaling in prostate cells.

Peter C. Hollenhorst, B. Graves, P. Hollenhorst, 2011, Genes & development.

methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder

H. Chae, Joungmin Choi, 2020, BMC Bioinformatics.

Integrated analysis of genome-wide DNA methylation and gene expression profiles in molecular subtypes of breast cancer

Byoung-Tak Zhang, Pearlly Yan, Kenneth P. Nephew, 2013, Nucleic acids research.

Genome-Wide Analysis and Modeling of DNA methylation susceptibility in 30 Breast Cancer Cell Lines by using CPG Flanking Sequences

Kenneth P. Nephew, Heejoon Chae, Sun Kim, 2013, J. Bioinform. Comput. Biol..

Determining the effect of DNA methylation on gene expression in cancer cells.

Sun Kim, Kwangsoo Kim, H. Chae, 2014, Methods in molecular biology.

Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines

Kenneth P. Nephew, Heejoon Chae, Sun Kim, 2016, BMC Systems Biology.

BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data

Heejoon Chae, Yoonjae Park, Seokjun Soe, 2018, BMC Bioinformatics.

Cloud-BS: A MapReduce-based bisulfite sequencing aligner on cloud

Heejoon Chae, Sun Kim, Yoonjae Park, 2018, J. Bioinform. Comput. Biol..

Comparative Gene Expression Profiles in Parathyroid Adenoma and Normal Parathyroid Tissue

Y. J. Chai, S. W. Kim, K. Lee, 2019, Journal of clinical medicine.

EGGSlicer: predicting biologically meaningful gene sets from gene clusters using gene ontology information

Heejoon Chae, Sun Kim, Kwangmin Choi, 2010, BCB '10.

Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

Heejoon Chae, Minsik Oh, Sungjoon Park, 2020, Briefings Bioinform..

Literature-based condition-specific miRNA-mRNA target prediction

Jaewoo Kang, Heejoon Chae, Sunwon Lee, 2017, PloS one.

A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data

Heejoon Chae, Inuk Jung, Joungmin Choi, 2020, IEEE Access.

BioVLAB-MMIA: A Cloud Environment for microRNA and mRNA Integrated Analysis (MMIA) on Amazon EC2

Hyungro Lee, Youngik Yang, Heejoon Chae, 2012, IEEE Transactions on NanoBioscience.

BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis

Kenneth P. Nephew, Suresh Marru, Chathura Herath, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Bio and health informatics meets cloud : BioVLab as an example

Suresh Marru, Seong-Whan Lee, Hyungro Lee, 2013, Health Inf. Sci. Syst..

Colorectal Cancer Prognosis Is Not Associated with BRAF and KRAS Mutations-A STROBE Compliant Study

Y. J. Chai, E. Choe, Kwangsoo Kim, 2019, Journal of clinical medicine.

Integration of heterogeneous time series gene expression data by clustering on time dimension

Heejoon Chae, Sun Kim, Hongryul Ahn, 2017, 2017 IEEE International Conference on Big Data and Smart Computing (BigComp).

moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks

H. Chae, Joungmin Choi, Heejoon Chae, 2023, BMC Bioinformatics.

PlantMirnaT: miRNA and mRNA integrated analysis fully utilizing characteristics of plant sequencing data.

SungMin Rhee, S. Rhee, H. Chae, 2015, Methods.

Bioinformatic analysis of peripheral blood RNA-sequencing sensitively detects the cause of late graft loss following overt hyperglycemia in pig-to-nonhuman primate islet xenotransplantation

Sun Kim, Jung‐Sik Kim, Chung-Gyu Park, 2019, Scientific Reports.

HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis

Heejoon Chae, Dongwon Kang, Hongryul Ahn, 2019, BMC Bioinformatics.

BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data

Kenneth P. Nephew, Heejoon Chae, Sun Kim, 2015, Bioinform..

CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments

Jaewoo Kang, Sun Kim, Seokjun Seo, 2016, Biology Direct.

CpG island shore methylation regulates caveolin-1 expression in breast cancer

J W Gray, J. Gray, K. Nephew, 2012, Oncogene.

Abstract 5013: CpG island shore methylation regulates caveolin-1 expression in breast cancer

Yunlong Liu, K. Nephew, T. Huang, 2012 .

HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis

Heejoon Chae, Sun Kim, Dongwon Kang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles

H. Chae, Joungmin Choi, Chaelin Park, 2023, BMC Bioinformatics.

DegPack: a web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples.

Kwangsoo Kim, Heejoon Chae, Sun Kim, 2014, Methods.

Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing

Je-Keun Rhee, Heejoon Chae, Joungmin Choi, 2021, IEEE Access.